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of field installations - Contribute to supervision, teaching, and research proposals Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil
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data, and engineering models to determine why failures occur in complex machines such as heat pumps and chillers. You also support the STFES (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be
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. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 24th March 2026 Languages English English English Join the inclusive University of Oslo as a PhD Research Fellow in Machine Learning
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Computer Science, Computer Science and Engineering or related area. Additional optional skills and qualifications: Proven track record in ontology alignment, machine learning with biomedical data, and knowledge
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of Neuromedicine and Movement Science (INB) at the Norwegian University of Science and Technology (NTNU) invites applications for a 3-year full-time (100%) PhD position. The successful candidate will be part of
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and Engineering. About us You will join the Healthy AI Lab , a research group led by Associate Professor Fredrik Johansson , that develops machine learning methods and theory to improve data-driven
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
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the following areas desirable but not essential: electrocatalysis, rheology, coating technology, machine learning Intrinsic motivation to show initiative, creativity, and to work independently Excellent